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SAIC
SAIC
EnterpriseMarketingSaaS
The supplied profile content for SAIC appears to describe Bitly rather than SAIC. It outlines a cloud-based SaaS platform for link management and QR codes, with URL shortening, dynamic QR codes, branded links, link analytics, UTM campaign tracking, mobile-friendly landing pages, digital business cards, developer APIs, and AI-enhanced features. The product copy targets marketers, developers, and enterprise teams across industries including retail, consumer packaged goods, hospitality, media, healthcare, finance, and education, with an emphasis on integrations, analytics, and enterprise capabilities. This information should be verified before using it to represent SAIC or its hiring activity.
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Principal AI and Machine Learning Developer

Lead the development and deployment of secure AI and machine learning prototypes for SAIC’s defense and intelligence missions. Work across generative AI, computer vision, MLOps, and cloud environments.

USUnited StatesVAVirginiaHybridFull-timeLeadEnglish RequiredMachine Learning Engineer
AirflowApacheAWSAzureCloudPythonPyTorchTensorflowTypeScript

Description

  • Design, build, and deploy advanced visual AI and machine learning prototypes using generative AI and large language models, natural language processing, computer vision, and predictive analytics.
  • Partner with program leaders and stakeholders to shape prototypes around user workflows and evolving technical needs.
  • Move sandboxed proofs of concept into secure, multi-tenant cloud environments such as AWS C2S and Azure Secret, as well as air-gapped networks.
  • Create automated CI/CD pipelines, containerize applications, and meet federal software assurance and security standards.
  • Manage technical work across multiple active programs with overlapping deadlines.
  • Coordinate schedules with several project managers to deliver high-priority milestones.
  • Present live technical demonstrations to senior Intelligence Community customers.
  • Keep codebases reusable and well maintained, and document system architecture.

Requirements

  • Bachelor’s degree in computer science, data science, engineering, or a related technical field and at least 9 years of relevant experience, or a master’s degree and at least 7 years of relevant experience.
  • U.S. citizenship.
  • Active Top Secret clearance with the ability to obtain TS/SCI clearance.
  • Proficiency in Python and software engineering practices, including Git, unit testing, and clean code architecture.
  • Practical experience developing machine learning models with PyTorch or TensorFlow.
  • Experience working with structured and unstructured data.
  • Preferred: Experience deploying AI and machine learning models in secure, multi-tenant cloud environments or air-gapped networks.
  • Preferred: Familiarity with MLOps and orchestration platforms such as MLflow, Kubeflow, Apache Airflow, or Triton Inference Server.
  • Preferred: Experience creating functional, interactive demonstration interfaces with Streamlit or Gradio.
  • Preferred: Familiarity with Intelligence Community missions.

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